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ishisaka id:ishisaka

parallelã«é–¢ã™ã‚‹ishisakaã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (9)

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neue cc - ForEachAsync - éžåŒæœŸã®åˆ—æŒ™ã®æ–¹æ³• Part2
Part2ã£ã¦ã€Part1ã¯ã‚ã£ãŸã®ã‹ã¨ã„ã†ã¨ã€ã†ãƒ¼ã‚“ã€éžåŒæœŸæ™‚ä»£ã®LINQã€ã‹ãªâ€¦â€¦ï¼Ÿã•ã¦ã€ä»Šå›žã¯ForEachãŒãƒ†ãƒ¼ãƒžã§ã™ã€‚ã¨ã„ã£ã¦ã‚‚ãã‚Œã£ã¦Select+WhenAllã§ã—ã‚‡ï¼ã€ŒSelectã¯éžåŒæœŸæ™‚ä»£ã®ForEachã€ã£ã¦è¨€ã£ã¦ãŸã˜ã‚ƒãªã„ã€ã¨ã„ã†ã¨ã€ã¯ã„ã€è¨€ã£ã¦ã¾ã—ãŸã€‚ã¾ã ä»–ã«è¨€ã†ã“ã¨ã‚ã‚‹ã®ï¼Ÿã¨ã„ã†ã¨ã€ä¾‹ãˆã°ä»¥ä¸‹ã®ã‚·ãƒãƒ¥ã‚¨ãƒ¼ã‚·ãƒ§ãƒ³ã€‚ var httpClient = new HttpClient(); var tasks = Enumerable.Range(1, 100000) .Select(async x => { var str = await httpClient.GetStringAsync("http://hogehoge?q=" + x); Console.WriteLine(str); }); await Task.WhenAll(tasks); åˆ¥ã«å‹•ãã¯ã—ã¾ã™
ishisaka 2014/03/15
.NET Framework

parallel

linq

async
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3. è¬›ç¾©å†…å®¹ ï® åºè«– - ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®å‰ã« ï® ä¸¦åˆ—å‡¦ç†ã®åŸºç¤Ž ï® ï® ä¸¦åˆ—å‡¦ç†ã®Terminology ä¸¦åˆ—è¨ˆç®—æ©Ÿã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ ï® ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ ï® ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å‡¦ç†ã®ä¸¦åˆ—åŒ– ï® çµåˆå‡¦ç†ã®é«˜é€ŸåŒ– ï® ï® ï® ï® ä¸¦åˆ—ãƒãƒƒã‚·ãƒ¥çµåˆ ä¸¦åˆ—ã‚½ãƒ¼ãƒˆ ãƒ‘ãƒ¼ãƒ†ã‚£ã‚·ãƒ§ãƒ‹ãƒ³ã‚°æ‰‹æ³• å¤šé‡çµåˆã‚„è¨ˆç®—æ©Ÿé–“ã®ãƒ‡ãƒ¼ã‚¿äº¤æ›ã§ç™ºç”Ÿã™ã‚‹å•é¡Œ ï® MapReduceã«ã‚ˆã‚‹é–¢ä¿‚æ¼”ç®—ã®ä¸¦åˆ—å‡¦ç† 3 4. ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹é–‹ç™ºã®æµã‚Œ ï® Coddã®è«–æ–‡: 1970å¹´ ï® ï® ï® ï® System Rã‚„Ingres: 70å¹´ä»£ä¸ç›¤ Oracle, IBM DB2, Ingres: 80å¹´ä»£åºç›¤ ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®éš†ç››: 80å¹´ä»£å¾ŒåŠ ï® ï® A Relational Model of Data for Large Shared Data Banks, Communications of ACM å•†ç”¨
ishisaka 2014/02/17
cloud computing

map reduce

rdbms

ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹

database

DB

parallel

mapreduce

concurrent

bigdata
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neue cc - ä¸¦åˆ—å®Ÿè¡Œã¨SqlConnection
ã©ã†ã‚‚ã€Parallelã‚„Threadãªå‡¦ç†ãŒè‹¦ç—›åº¦100ãªãƒšãƒãƒ‘ãƒ¼ã§ã™ã€‚å˜˜ã§ã™ã€‚ç©ºå‰ã®ThreadLocalãƒ–ãƒ¼ãƒ ãŒæ¥ã¦ãŸã‚Šæ¥ã¦ãªã‹ã£ãŸã‚Šã™ã‚‹æ˜¨ä»Šã§ã™ã€‚ã‚ã€è¬Žç¤¾ã®å®£ä¼ã—ã¾ã™ã¨ã‚°ãƒªãƒ¼ã¨ã‚°ãƒ©ãƒ‹ã€ã€ŒGREEã€ã«ãŠã‘ã‚‹ã‚½ãƒ¼ã‚·ãƒ£ãƒ«ã‚²ãƒ¼ãƒ ã®æä¾›ãªã©ã«ã¤ã„ã¦æˆ¦ç•¥çš„æ¥å‹™ææºã«åˆæ„ã¨ã„ã†ã‚ã‘ã§ã€ãã‚Šã¨ãã‚‰ã€ã¨ã—ã‹ã„ã„ã‚ˆã†ãŒãªã„æ˜¨ä»Šã§ã‚‚ã‚ã‚Šã¾ã™ã€‚ãã®æ—¥ã«é–‹å‚¬ã•ã‚Œã¦ã„ãŸGREEãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã§ã¯ã€è¬Žç¤¾ã¯C#ä¼æ¥ã«ãªã‚‹ï¼ã¨å¤§å®£è¨€ã—ãŸã®ã§ã€ã¡ã‚ƒã‚“ã¨å®Ÿç¾ã•ã›ã¦ã„ããŸã„ã¨ã“ã‚ã§ã™ã€ã„ã‚„ã€ã‚€ã—ã‚ãã®ãŸã‚ã«ãƒ•ãƒ«å›žè»¢ã—ã¦ã„ã¾ã™ã€‚ ãã‚“ãªå®£ä¼ã¯ãŠã„ã¦ãŠã„ã¦æœ¬é¡Œãªã®ã§ã™ã‘ã‚Œã©ã€SQLã€‚ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€‚å¤§é‡ã«ã‚¯ã‚¨ãƒªç™ºè¡Œã—ãŸã„æ™‚ãªã©ã€ãƒ‘ãƒ©ãƒ¬ãƒ«å®Ÿè¡Œã—ãŸã„ã®ï¼ã‚¤ãƒ³ã‚µãƒ¼ãƒˆã ã£ãŸã‚‰å½“ç„¶BulkInsertãŒä¸€ç•ªæ—©ã„ã‚“ã§ã™ãŒã€Updateã¨ã‹ãã€‚ã‚·ãƒ³ãƒ‰ã‚¤ã‚“ã ã‚ˆãã€‚ã‚ã¨Upsert(Merge/ON DUPLICATE KEY
ishisaka 2013/03/10
parallel

.NET Framework

C#
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.NETã§ãƒžãƒ³ãƒ‡ãƒ«ãƒ–ãƒé›†åˆã‚’æãï¼ˆå¾Œæ—¥è«‡ï¼‰ã€€â€•â€•Task Parallel Libraryï¼Parallel Patterns Libraryã®åˆ©ç”¨
CodeZineç·¨é›†éƒ¨ã§ã¯ã€ç¾å ´ã§æ´»èºã™ã‚‹ãƒ‡ãƒ™ãƒãƒƒãƒ‘ãƒ¼ã‚’ã‚¹ã‚¿ãƒ¼ã«ã™ã‚‹ãŸã‚ã®ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã€ŒDevelopers Summitã€ã‚„ã€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ç”Ÿãã–ã¾ã‚’ãƒ–ãƒ¼ã‚¹ãƒˆã™ã‚‹ãŸã‚ã®ã‚¤ãƒ™ãƒ³ãƒˆã€ŒDevelopers Boostã€ãªã©ã€ã•ã¾ã–ã¾ãªã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã‚’ä¼ç”»ãƒ»é‹å–¶ã—ã¦ã„ã¾ã™ã€‚
ishisaka 2009/12/28
.NET Framework

ä¸¦åˆ—åŒ–

parallel
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The Art of Concurrencyå’Œè¨³æ›¸ç±ã¸ã®æŽ¨è–¦æ–‡ è¨³è€…ã¾ãˆãŒã ã¾ãˆãŒã 1ç« ã€€é€Ÿãã—ãŸã„äººã€æ‰‹ã‚’æŒ™ã’ã¦ï¼ 1.1ã€€ã•ã¾ã–ã¾ãªç–‘å• 1.1.1ã€€ã‚¹ãƒ¬ãƒƒãƒ‰ãƒ¢ãƒ³ã‚ãƒ¼ 1.1.2ã€€ä¸¦åˆ—ã¨ä¸¦è¡Œï¼šãã®é•ã„ã¯ï¼Ÿ 1.1.3ã€€ãã‚“ãªã“ã¨ã‚’çŸ¥ã‚‹å¿…è¦ãŒã‚ã‚‹ã®ï¼Ÿ ã©ã‚“ãªå½¹ã«ç«‹ã¤ã®ï¼Ÿ 1.1.4ã€€ä¸¦è¡Œãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã£ã¦é›£ã—ããªã„ã®ï¼Ÿ 1.1.5ã€€ã‚¹ãƒ¬ãƒƒãƒ‰ã£ã¦å±é™ºã˜ã‚ƒãªã„ã®ï¼Ÿ 1.2ã€€ã‚¹ãƒ¬ãƒƒãƒ‰åŒ–ã®4ã¤ã®ã‚¹ãƒ†ãƒƒãƒ— 1.2.1ã€€ã‚¹ãƒ†ãƒƒãƒ—1. åˆ†æžï¼šä¸¦è¡Œæ€§ã‚’æŒã¤éƒ¨åˆ†ã‚’è¦‹ã¤ã‘å‡ºã™ 1.2.2ã€€ã‚¹ãƒ†ãƒƒãƒ—2. è¨è¨ˆã¨å®Ÿè£…ï¼šã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’ã‚¹ãƒ¬ãƒƒãƒ‰åŒ–ã™ã‚‹ 1.2.3ã€€ã‚¹ãƒ†ãƒƒãƒ—3. æ£å½“æ€§ã®æ¤œè¨¼ï¼šã‚¹ãƒ¬ãƒƒãƒ‰åŒ–ã®èª¤ã‚Šã®æ¤œå‡ºã¨ä¿®æ£ 1.2.4ã€€ã‚¹ãƒ†ãƒƒãƒ—4. æ€§èƒ½ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ï¼šæ€§èƒ½ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã®æŽ’é™¤ 1.2.5ã€€ã‚¹ã‚¯ãƒ©ãƒƒãƒé–‹ç™º 1.3ã€€ä¸¦åˆ—ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®èƒŒæ™¯ 1.3.1ã€€ç†è«–ãƒ¢ãƒ‡ãƒ« 1.3.2ã€€åˆ†æ•£ãƒ¡ãƒ¢ãƒªãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚° 1.
ishisaka 2009/12/15
Programming

parallel
ãƒªãƒ³ã‚¯
Channel 9
AI is suddenly everywhere. Do you need to go and get a shiny machine learning degree to rem ain competitive? John Maeda says not to worry. Heâ€™ll show you how to cook delicious dishes into your coding repertoire with his new show - Mr. Maedaâ€™s Cozy AI Kitchen. Open at Microsoft is a weekly show for open-source enthusiasts. It features a diverse group of guests including maintainers, software and Dev
ishisaka 2009/06/10
.NET Framework
ãƒªãƒ³ã‚¯
Category:ä¸¦åˆ—ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚° - Wikipedia
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ishisaka 2008/11/07
parallel

ä¸¦åˆ—åŒ–
ãƒªãƒ³ã‚¯
ãƒ•ãƒªãƒ³ã®åˆ†é¡ž - Wikipedia
ãƒ•ãƒªãƒ³ã®åˆ†é¡žï¼ˆãƒ•ãƒªãƒ³ã®ã¶ã‚“ã‚‹ã„ã€è‹±: Flynn's taxonomyï¼‰ã¯ã€è¨ˆç®—æ©Ÿç§‘å¦ã®åˆ†é‡Žã§ä¸¦åˆ—å‡¦ç†ã«é–¢ã™ã‚‹ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ãƒ»ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã®åˆ†é¡žã§ã‚ã‚‹ã€‚ãƒžã‚¤ã‚±ãƒ«ãƒ»Jãƒ»ãƒ•ãƒªãƒ³ï¼ˆMichael J. Flynnï¼‰ãŒ1966å¹´ã«ææ¡ˆã—ãŸã€‚[1][2]ã€‚
ishisaka 2008/11/07
ä¸¦åˆ—åŒ–

parallel
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ishisaka 2008/11/06
programming

parallel

ä¸¦åˆ—åŒ–

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